ARC RIG
Analysis | Diagrams | Innovators
RIG Platform backed by ARC tokenomic strategy.
Potential for manufacturing, construction, logistics and advertising at the edge.
Agents
Agents and Examples
| X | Purpose | Notes |
|---|---|---|
| listenonsol | Quant Trading | listen-rs, source code |
| AgentTankLive | ||
| FabelisAI | ||
| askjimmy_ai | ||
| soulgra_ph |
Point of Difference
Robust framework tailored for financial and trading agents while offering modular tools for decentralized workflows. Rust enables DePINs of Closed Loop Control Systems by connecting low level devices. Key differentiators include:
- Deep vertical integration through Rust-powered performance.
- Specialized hardware optimization via ARC Virtual Machine.
- Modular design enabling scalable AI applications across industries.
Relationships:
- ElizaOS: Good for prototyping decentralized AI solutions. Developers may switch to ARC for final product development due to its robustness and modularity.
- Virtuals/Game Framework: Focused on gaming and entertainment. Complements ARC's financial and trading-oriented agents by targeting interactive environments.
Leadership Team
Who is leading RIG/ARC vision, ecosystem growth strategy?
Communication of Vision and Mission:
Community Engagement:
Decision Transparency:
Developers:
- Joshua Mo (
joshua-mo-143) - piotrostr
- 0xMochan
- sky-coderay
- Mkranjac
- Cvauclair
Tokenomics
Notes: Comprehensive tokenomics with fair distribution but limited exchange presence.
- Utility: ARC tokens facilitate ecosystem services, staking rewards, governance participation, and liquidity provision.
- Market Cap & Liquidity: ARC surpassed a $50 million market cap with robust token distribution designed for long-term sustainability.
- Exchange Listings: Listed on decentralized exchanges; however, broader listings on major platforms would enhance accessibility.
Partnerships
Notes: Limited partnerships outside core blockchain ecosystems.
- Current partnerships include Solana Foundation grants
- Shuttle.rs integration.
Engineering
High Level Overview ryzome
| Architecture | Item |
|---|---|
| Language | Rust |
| Blockchains | Solana |
| Packages | |
| MCP | |
| Marketplace? | ryzome |
Trust and Security
Notes: Excellent foundational security posture but lacks advanced features like TEE.
- TEE Integration: Currently absent but planned via Solana Compute Units for enhanced security[7].
- Data Integrity: Rust's memory safety ensures high security; however, additional measures like zkML proofs for inference auditing are recommended[6][9].
Communication Layer
Notes: Strong protocol integration but requires advanced context handling.
- Multi-channel Coherence: Fragmented implementation; lacks native webhook support for platforms like Twitter/Telegram[6][9].
- On-chain Interaction Modules: Solana integration ensures high-speed blockchain operations (16k token support in data pipelines[8].
Roadmap Credibility
Notes: Ambitious roadmap with clear milestones.
- Open Data Access: Partial implementation; reasoning logs are limited[4].
- Decentralized Inference & AI OS: Planned innovations include zkML prototypes by Q3'25 and decentralized
Progress Integrity
Notes: Solid progress but needs more emphasis on cross-chain identity anchoring.
- Subject Matter Expertise: Strong focus on DeFi arbitrage agents and modular AI applications[2][6].
- Feedback Loops: Continuous learning is supported through Rust-based tools like Handshake Program[6].
- Governance Integration: Decentralized governance is planned for 2027[4].
Agent Development
Notes: Advanced capabilities but lacks direct tools for personality profiling.
Character
- Persona Templating Systems: ARC supports modular AI agent creation with tools like Handshake Program for swarm coordination[6].
- Behavior Consistency: Rust-powered framework ensures type-safe interactions across platforms[14].
Capabilities
Notes: Exceptional breadth of executable behaviors.
- Crypto Payments & Ecommerce: Supports decentralized transactions through smart contracts and ARC Virtual Machine optimization.
- Multi-Agent Systems: Enables complex setups like RAG systems and swarm intelligence applications.
Developer Experience
Notes: Strong developer support but onboarding could be streamlined.
- Documentation & Onboarding: Comprehensive resources available at docs.rig.rs; onboarding workflow needs consolidation across domains.
- Debugging Tools & CI/CD Integration: Effective debugging tools but CI/CD integration is partial compared to competitors like Eliza.
Evaluation Scorecard
| Focus | Score | Notes |
|---|---|---|
| Leadership Team | 4.5/5 | Strong team with active engagement |
| Tokenomics | 4.5/5 | Robust design, limited exchange |
| Character Development | 4.5/5 | Advanced tools, minor gaps |
| Capabilities | 5/5 | Exceptional breadth |
| Communication Layer | 3.5/5 | Fragmented implementation |
| Model Context Protocol | 4.5/5 | Excellent integration |
| Developer Depth | 4/5 | Comprehensive resources |
| Security | 4/5 | Needs advanced features |
| Roadmap | 4/5 | Clear milestones |
Digital Presence
Onboarding and Developer Education.
| Project | Notes |
|---|---|
| arc.fun | |
| rig.rs | |
| docs.rig.rs | |
| rig discord | |
| docs.rs/rig-core/latest/rig |
Notes: Bit of a mess,
- Redirect all domains to docs.rig.rs
- Implement versioned branches (stable/nightly)
GitHub
| Link | Notes |
|---|---|
| Rig | |
| Rig - Agent Routing | |
| Rig Examples | |
| Rig Examples - P&ID Controller | |
| Rig Onchain Kit |
Links
Kezo
Joshmo